Run
2081526

Run 2081526

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Irma van den Brandt
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_RandomForest(12)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(12)_P100
weka.Bagging_RandomForest(12)_S1
weka.Bagging_RandomForest(12)_num-slots1
weka.Bagging_RandomForest(12)_I10
weka.Bagging_RandomForest(12)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S8

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9377
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.529
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5383
Cross-validation details (10-fold Crossvalidation)
KB relative information score
265.9953
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0296
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5169
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.565
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.565
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7455
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1143
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8128
Cross-validation details (10-fold Crossvalidation)